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MovieLens data sets were collected by the GroupLens Research Project at the University of Minnesota.

This data set consists of: * 100,000 ratings (1-5) from 943 users on 1682 movies. * Each user has rated at least 20 movies. * Simple demographic info for the users (age, gender, occupation, zip)


Analyse and show data in a table


##       user            item            rating       timestamp         
##  Min.   :  1.0   Min.   :   1.0   Min.   :1.00   Min.   :1997-09-20  
##  1st Qu.:254.0   1st Qu.: 175.0   1st Qu.:3.00   1st Qu.:1997-11-13  
##  Median :447.0   Median : 322.0   Median :4.00   Median :1997-12-22  
##  Mean   :462.5   Mean   : 425.5   Mean   :3.53   Mean   :1997-12-30  
##  3rd Qu.:682.0   3rd Qu.: 631.0   3rd Qu.:4.00   3rd Qu.:1998-02-23  
##  Max.   :943.0   Max.   :1682.0   Max.   :5.00   Max.   :1998-04-22
## Warning in instance$preRenderHook(instance): It seems your data is too
## big for client-side DataTables. You may consider server-side processing:
## https://rstudio.github.io/DT/server.html
 




A work by Yu